1 to 25 of 38 Permanent Amazon Redshift Jobs in the UK excluding London

design innovative data solutions that address complex business requirements and drive decision-making. Your Skills and Experience Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Strong experience with modern … languages such as Python, Java, and Scala. In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets. more »

design innovative data solutions that address complex business requirements and drive decision-making. Your Skills and Experience Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Strong experience with modern … languages such as Python, Java, and Scala. In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets. more »

science teams to build pipelines and deploy to edge devices (cloud) Store and process big data as Datalake/Datawarehouse and into ETL. (Athena, Amazon EMR, Amazon Redshift) Implement CI/CD pipeline to train, validate and deploy machine learning model into cloud and edge. Database orchestration more »

science teams to build pipelines and deploy to edge devices (cloud) Store and process big data as Datalake/Datawarehouse and into ETL. (Athena, Amazon EMR, Amazon Redshift) Implement CI/CD pipeline to train, validate and deploy machine learning model into cloud and edge. Database orchestration more »

models, ensuring data is structured, accessible, and performant for downstream analytics and machine learning models Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) Knowledge and experience of Palantir Foundry or Gotham is a major more »

/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS or Azure services. Data Platforms: Databricks, Redshift, Snowflake or BigQuery SQL or Python development. Experience with Java, Scala, C#, and JavaScript would be advantageous Assist data governance and security best practices more »

platforms such asAWS, Azure andGCP (AWS is preferred). Desirable but not essential expertise in the following: Data Warehousing - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse. A good understanding, and practical experience, of analytical data modelling techniques is essential (e.g. dimensional modelling, data vault, etc) Data Pipeline more »

environment issues. Continuous Improvement: Enhance capabilities with cutting-edge AWS tools. Required Skills: Core AWS services expertise: EC2, S3, RDS, Lambda, IAM (SAML), EMR, Redshift, and more. Infrastructure-as-code tools (e.g., Terraform, AWS CloudFormation). Networking concepts: VPC, CIDR, WAF, and firewalls in AWS. CI/CD pipelines more »

and accurate data for the clients product Optimize data storage and retrieval processes to enhance system performance and scalability. AWS: Utilize AWS services (S3, Redshift, EMR, Lambda, Kinesis) to build and manage scalable data infrastructure. Implement best practices for security, monitoring, and cost management within the AWS ecosystem. Collaborate more »

that can support the company’s current and future data needs. You will work with modern data warehouse technologies such as Snowflake, BigQuery, or Redshift, selecting the right tools to meet the organisation's needs. You’ll establish standards for data quality and integrity, ensuring the business has access more »

and Storage: Skilled in designing data models for analytical processing and working with relational and non-relational databases. At least one of: Snowflake, BigQuery, Redshift, or equivalent. Automation and Monitoring: Experience with CI/CD for data applications, setting up data integrity checks, and implementing monitoring/alerting mechanisms. more »

data extraction, manipulation, and modelling. Experience with SQL-based platforms such as Microsoft SQL Server, MySQL, or PostgreSQL. Familiar with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake. Ability to design and develop interactive dashboards and reports that meet business needs. Experienced with Python or R more »

Python: Advanced data processing, automation, and orchestration proficiency. Database Migration & Cloud Warehousing : Lead migrations (e.g., Oracle to Snowflake) and manage cloud data warehouses (AWS Redshift/Snowflake) to ensure performance and scalability. ETL & IaC: Develop efficient ETL processes and automate infrastructure using Terraform, CloudFormation, etc. CI/CD Pipelines more »

cloud platforms such as AWS, Azure and GCP (AWS is preferred). Desirable expertise in the following: Data Warehousing - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse. A good understanding, and practical experience, of analytical data modelling techniques is essential (e.g. dimensional modelling, data vault, etc) Data Pipelines more »

and accurate data for the clients product Optimize data storage and retrieval processes to enhance system performance and scalability. AWS: Utilize AWS services (S3, Redshift, EMR, Lambda, Kinesis) to build and manage scalable data infrastructure. Implement best practices for security, monitoring, and cost management within the AWS ecosystem. Collaborate more »

data. AWS to Azure Migration : Be a pivotal part of the migration program, helping to transfer and transform data assets from AWS S3 and Redshift to Azure Data Lake Storage and Synapse. Ensure Data Quality & Governance : Implement data quality checks, ensure regulatory compliance, and support data governance practices. Optimise more »

data. AWS to Azure Migration : Be a pivotal part of the migration program, helping to transfer and transform data assets from AWS S3 and Redshift to Azure Data Lake Storage and Synapse. Ensure Data Quality & Governance : Implement data quality checks, ensure regulatory compliance, and support data governance practices. Optimise more »

data. Experience in establishing analytics and AI solutions. Good working knowledge of ontologies and taxonomies. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Data quality/validation experience: designing metrics and more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »